Federated

Bringing research papers, datasets and peer reviews to a larger network of federated social platforms, with no vendor lock-in and on a platform you can host and control.

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Showcasing your work, and discussing it

Be seen by your peers, review your work exclusively with them or get comments from users of the wider federated networks. Your research is not siloted anymore.

Feature illustrationFeature boxFeature illustration topFeature illustrationFeature boxFeature illustration topCollaborationMastodon user writing a comment suggesting a link to another dataset.Pleroma user writing a comment with a reference to a specific file of the dataset.OLKi ressource page, listing files (dataset, various files, paper) and comments.
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Publish and nourrish

Your scientific work is not frozen anymore: people can comment (withLaTeXif they want!) specific parts of your datasets, and do so with other scientists and citizens of the fediverse.

Scientific watch

OLKi helps you keep an eye on recent publications from major platforms or from any server running OLKi. Get notified when new papers matching rich criteria get published.

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Community-owned

OLKi is free, libre software that you can install on your own server, operate and modify independently. The project itself, while lead by LORIA, is developped in the open and willing to integrate external contributors in the decision loop.

Join us in on our issue tracker or during our bi-monthly group sessions!

Reference from anywhere

Enrich your experience reviewing research corpora: you can reference specific parts of a dataset from OLKi or any textual federated platform. Your work on OLKi is referenceable too, of course.

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Interoperable

Standard protocols are used to ensure compatibility between OLKi servers, but also with existing dataset/publication repositories and tools. Did we say that there is no vendor lock-in?

Run your own server

Join the network of OLKi platforms, and help your researchers get access to tools, feedback, and their peers' work. You only host your own users and the metadata of the content that they subscribe to, which means it's quite scalable and resource-efficient.